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Founding Research Engineer

Foundation models company building Earth simulation systems, starting with weather prediction
$80,000 - $200,000
Data
Entry-Level Software Engineer
Remote
1 - 10 Employees
AI
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Description For Founding Research Engineer

Silurian is pioneering the development of foundation models to simulate Earth, with an initial focus on weather prediction. The company aims to scale these models to their full potential and push the boundaries of physical predictability, ultimately modeling all weather-impacted infrastructure including energy grids, agriculture, logistics, and defense.

As a Founding Research Engineer, you'll be at the forefront of handling large-scale multi-modal data pipelines. The role involves working with petabytes of geospatial data, making it crucial for Earth simulation and weather prediction models. You'll be part of a dynamic team committed to building AI that improves the world, with real-world impact such as early hurricane prediction.

The interview process is thorough and transparent, including initial chat, technical deep dive, take-home project, team rounds, and an on-site visit. The company values both quick and methodical approaches to problem-solving.

The position offers the opportunity to work with cutting-edge technology and some of the world's largest training datasets. You'll be instrumental in transforming massive amounts of data into next-generation global forecasting systems. The role combines technical expertise with meaningful impact, as your work will directly contribute to improving weather prediction and Earth simulation capabilities.

Working at Silurian means joining a small but dedicated team of four, where consensus hiring ensures strong team fit. The company, founded in 2024, is actively pushing the boundaries of AI and environmental modeling, making it an exciting opportunity for those interested in the intersection of AI, climate science, and large-scale data engineering.

Last updated 5 months ago

Responsibilities For Founding Research Engineer

  • Architect and implement petabyte scale geospatial data pipelines
  • Design and optimize schemas for gridded data, time-series, and satellite imagery
  • Implement robust data validation, indexing, and search capabilities
  • Streamline the ingestion and preprocessing of data for foundation models
  • Design fault-tolerant systems for ingesting, storing, and managing forecast data

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